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PAKDD Distinguished Contribution Award 2007 22 April 2007

The steering committee of PAKDD has decided to confer the PAKDD 2007 distinguished contribution award on Professor Ramamohanarao Kotagiri of the University of Melbourne based on the recommendation made by the Award Selection Committee for his persistent outstanding contributions to PAKDD and eminent academic records.

Professor Kotagiri has had a long association with the PAKDD Conference, with 2007 marking his tenth anniversary with PAKDD. He was a co-chair of the program committee of the second PAKDD conference, in 1998, and a founding member of the PAKDD steering committee, together with Huan Liu, Hongjun Lu, Hiroshi Motoda, and Xindong Wu. He served as honorary chair in 2004 and has regularly served as a member of the program committee. Professor Kotagiri has actively promoted the conference series in the Asia Pacific region and beyond. His unyielding and sustained participation in both the organization of the conferences and in presenting some of his key research through the conferences undeniably qualify him as one of the most distinguished individuals contributing to the great success of the PAKDD conference series.

Professor Kotagiri has a long and distinguished academic research career. In particular, he is well known for his pioneering work on hashing and information retrieval in database management, new techniques for intelligent, efficient and expressive database queries, the theory and practice of emerging patterns, intrusion detection and text mining. His publications appear in many highly regarded conferences and journals, including PAKDD, KDD, ICDM and PKDD, and IEEE TKDE, Data Mining and Knowledge Discovery, Machine Learning and Knowledge and Information Systems. He was honored as a member of the Australian Academy of Science and also the Australian Academy of Technological Science and Engineering. He currently serves on the Prime Minister's Science and Engineering Innovation Council. These recognise the significant impact he has had on research in Australia and Internationally, and demonstrate his ongoing dedication to the advancement of data mining and computer science research.

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